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Researcher · University of Maryland, College Park · United States

B. Shneiderman

B. Shneiderman publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, on topics such as Data Visualization and Analytics, Advanced Database Systems and Queries and Gene expression and cancer classification.

OpenAlex
World rank
#2,272,453
of 7,710,434 ranked researchers
Rank in United States
#678,987
of 1,627,098
Works
14
Citations
1.1k
Citations per work
81.6
h-index
9
i10-index 9Top 52% in Computer Vision and Pattern Recognition
B. Shneiderman

What does B. Shneiderman research?

B. Shneiderman's work is mostly in Computer Science (49%), Biochemistry, Genetics and Molecular Biology (14%), Psychology (5%).

Physical Sciences: 7 works · 48.6% of their workComputer Science: 7 works · 48.6% of their workComputer Vision and Pattern Recognition: 3 works · 18.9% of their workArtificial Intelligence: 2 works · 13.5% of their workComputer Networks and Communications: 1 works · 8.1% of their workInformation Systems: 1 works · 8.1% of their workEverything else: 5 works · 32.5% of their workLife Sciences: 2 works · 13.5% of their workBiochemistry, Genetics and Molecular Biology: 2 works · 13.5% of their workMolecular Biology: 2 works · 13.5% of their workSocial Sciences: 1 works · 5.4% of their workPsychology: 1 works · 5.4% of their workExperimental and Cognitive Psychology: 1 works · 5.4% of their workTHEIR WORKB. Shneiderman14works
Life Sciences14%Physical Sciences49%Social Sciences5%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science748.6%
  2. Everything else532.5%
    1. Biochemistry, Genetics and Molecular Biology213.5%
    1. Psychology15.4%
  1. 1Computer Vision and Pattern Recognition19% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Molecular Biology14% of their works
  4. 4Computer Networks and Communications8% of their works
  5. 5Information Systems8% of their works
  6. 6Experimental and Cognitive Psychology5% of their works

Research topics

Which keywords describe B. Shneiderman's research?

The keywords of their largest research topics: Information Visualization, Visual Analytics, Continuous Queries, Data Stream Management, Machine Learning, Data Integration, Gene Expression and Gene Set Enrichment Analysis.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Information Visualization61 topic
  2. Visual Analytics61 topic
  3. Continuous Queries31 topic
  4. Data Stream Management31 topic
  5. Machine Learning32 topics
  6. Data Integration22 topics
  7. Gene Expression21 topic
  8. Gene Set Enrichment Analysis21 topic
  9. Microarray21 topic
  10. Protein-Protein Interaction Networks21 topic
  11. Semantic Web22 topics
  12. Bioimage Analysis11 topic
  13. Biomedical Ontologies11 topic
  14. High-Content Screening11 topic
  15. Linked Data11 topic
  16. Nutrition Science11 topic
  17. Ontology11 topic
  18. Public Health11 topic
  19. Text Mining11 topic

Where does B. Shneiderman work?

B. Shneiderman's main affiliation in the publication record is University of Maryland, College Park, United States.

How many publications and citations does B. Shneiderman have?

OpenAlex counts 14 works and 1,143 citations for B. Shneiderman, an h-index of 9, ranking #2,272,453 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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